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Prostate Cancer: PI-RADS Version 2 Helps Preoperatively Predict Clinically Significant Cancers.

Authors
 Sung Yoon Park  ;  Dae Chul Jung  ;  Young Taik Oh  ;  Nam Hoon Cho  ;  Young Deuk Choi  ;  Koon Ho Rha  ;  Sung Joon Hong  ;  Kyunghwa Han 
Citation
 RADIOLOGY, Vol.280(1) : 108-116, 2016 
Journal Title
RADIOLOGY
ISSN
 0033-8419 
Issue Date
2016
MeSH
Aged ; Humans ; Magnetic Resonance Imaging/methods* ; Male ; Middle Aged ; Predictive Value of Tests ; Preoperative Care/methods* ; Prostate/diagnostic imaging ; Prostate/pathology ; Prostate/surgery ; Prostatic Neoplasms/diagnostic imaging* ; Prostatic Neoplasms/pathology ; Prostatic Neoplasms/surgery ; Radiology Information Systems/statistics & numerical data* ; Retrospective Studies ; Sensitivity and Specificity
Abstract
Purpose To retrospectively analyze whether Prostate Imaging Reporting and Data System (PI-RADS) version 2 is helpful for the detection of clinically significant prostate cancer. Materials and Methods Institutional review board approved this retrospective study. A total of 425 patients with prostate cancer who had undergone magnetic resonance (MR) imaging and radical prostatectomy were included. Preoperative parameters such as prostate-specific antigen, biopsy Gleason score, greatest percentage of the core, percentage of the positive core number, and score at PI-RADS version 2 with MR imaging were investigated. Two independent readers performed PI-RADS scoring. Clinically significant prostate cancer was defined as follows: (a) Gleason score of 7 or greater, (b) tumor volume of 0.5 cm(3) or greater, or a (c) positive extracapsular extension or seminal vesicle invasion. The reference standard was based on review of surgical specimen. Logistic regression was conducted to determine which parameters are associated with the presence of clinically significant cancer. Interreader agreement (ie, score ≥4 or not) was investigated by using κ statistics. Results At univariate analysis, all of the preoperative parameters were significant for clinically significant prostate cancer (P < .05). However, multivariate analysis revealed that PI-RADS score was the only significant parameter for both readers (reader 1: odds ratio = 28.170, P = .002; reader 2: odds ratio = 5.474, P = .007). The interreader agreement was excellent for PI-RADS score of 4 or greater (weighted κ = 0.801; 95% confidence interval: 0.737, 0.865). Conclusion The use of PI-RADS version 2 may help preoperatively diagnose clinically significant prostate cancer.
Full Text
http://pubs.rsna.org/doi/abs/10.1148/radiol.16151133
DOI
10.1148/radiol.16151133
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Urology (비뇨의학교실) > 1. Journal Papers
Yonsei Authors
Rha, Koon Ho(나군호) ORCID logo https://orcid.org/0000-0001-8588-7584
Park, Sung Yoon(박성윤)
Oh, Young Taik(오영택) ORCID logo https://orcid.org/0000-0002-4438-8890
Jung, Dae Chul(정대철) ORCID logo https://orcid.org/0000-0001-5769-5083
Cho, Nam Hoon(조남훈) ORCID logo https://orcid.org/0000-0002-0045-6441
Choi, Young Deuk(최영득) ORCID logo https://orcid.org/0000-0002-8545-5797
Han, Kyung Seok(한경석)
Hong, Sung Joon(홍성준) ORCID logo https://orcid.org/0000-0001-9869-065X
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/147099
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